Senior Finance Data Analyst Jobs

Support and evolve the Advanced Analytics and Data Management capabilities towards empowering citizen data scientists in the business

Experience with modeling and analysis including machine learning, statistical analysis, operations research, management science and data mining

3+ years of professional experience in analytics environment with proven value creation outcomes

3-5 years of professional experience with SQL, Python, PySpark

Experience with framework such as TensorFlow, Keras, PyTorch, MxNet and the sci-kit learn library is a plus

Hands-on experience in one or more of the following: C#, PowerShell, Azure CLI, Azure Templates

Ensure effective documentation, solution design, thorough code review, and a high standard of data quality management

At least seven years of professional experience in Data Engineering. Past experience in Finance and Business Analytics is a plus.

At least three years experience leading a team of data engineers delivering productionalized and stable solutions/products

Experience working with Terraform and administrating infrastructure-as-code

Experience working with permissions for Snowflake and other databases for roles and users through code deployments

Experience in implementing best practices for data engineering, such as source control repositories, automated code deployments, data quality frameworks, etc.

To be considered for this role, our client is looking for someone with the following skills/qualifications;

Presenting to managers and directors

Very strong communication and presentation skills

The responsibilities include the following;

Preparing P & L analysis on a monthly, quarterly, annually and on budget basis

Analysis of cogs, pricing and customer profitability

Experience with Guidewire Insurance Suite

Experience with Customer data and related systems

Informatica SaaS (IDMC) Platform Experience

Data Governance and Stewardship Experience

Senior Data Analyst with 10+ years' experience

·Experience Testing Data Quality on ETL/API Integrations, Reports and other Data Artifacts

3+ years in Finance/Management Reporting experience including planning, forecasting and variance analysis.

Proficient in time management and demonstrated adaptability when changes are required.

Ensure financial controls (policy, attestations, accruals, PCAs) are in place to provide a well-managed and accurate P&L.

Develop and maintain solid and effective working relationship with Business Partners, Segment Finance, Enterprise Decision Support and other stakeholders

Be pro-active in seeking areas for process improvements/automations to streamline overall workflow of finance processes

Proven analytical and problem-solving skills.

Perform financial reporting and tracking key operational metrics.

Ensures costs and budgets control:

Studies and analyzes profitability projects:

Our Differences make our Performance

4+ years of working experience as a Data Analyst

The successful candidate will have experience with eCommerce data using a variety of Customer Data Platforms

Experience building data models and visualizations for business stakeholders

Hands on experience with SQL, Python or R

If you have the skills we are looking for contact us today about this fulfilling role.

Graduate degree in Computer Science, Business, or equivalent experience

5+ years of experience in Business Intelligence/Data Analysis

Data Analyst experience in ERPs as Salesforce, NetSuite, SuccessFactors, or equivalents

Experience producing information with BI tools like Power BI, Tableau, Cognos, etc.

Strong capabilities in SQL to analyze and troubleshoot data

Exceptional communication and ability to translate user requirements into data technical specifications, data extracts and dashboards

A university degree in Business, Statistics, Computer science, data science or a combination of training and work experience will be considered.

2-3 years of experience in the financial services industry.

Solid working knowledge using data transformation and manipulation tools (SQL proficiency, Big Query, Python or other analytical tools).

Experience with reporting platforms and data sources such as Tableau, Looker Studio, Google Analytics

Certification in Data Analytics or Business Analytics

Experience working at a Financial Institution or Retail Organization would be an asset

Manage continuously competing priorities while maintaining composure and the highest degree of professionalism.

Strong prioritization skills; proven ability to be successful in a fast-paced and rapidly changing work environment.

Bachelor’s degree in Finance or Business highly preferred.

Minimum 3-5 years of related of related FP&A or financial reporting experience; Retail or CPG industry experience preferred.

Strong modelling skills and high degree of comfort with financial systems, preferably SAP Business Objects and Anaplan.

Experience with complex accounting principles and financial statements.

Excellent data analysis skills required; experience of modeling, A/B testing, multivariate testing, machine leaning and statistics desirable.

3- 5 years experience of SQL, 1 or more years of experience of R or Python for data analysis.

Experience working with distributed data stores (Hadoop, Redshift etc. )

You have experience working collaboratively within a small team and communicate across teams in different regions.

You have experience as an analyst within an Agile corporate environment.

You will design telemetry logs to track in-game behaviors based on the game design and the request of partners.

Strong time management skills, with the ability to perform effectively under tight deadlines with multiple priorities

Navigate complex risk management projects and activities with a continuous improvement mindset

An alternative combination of education and experience may be considered

Successfully completed an undergraduate degree in Commerce, Accounting, Finance or Business

Ten (10)+ years of related, progressive experience

Complete counterparty financial statement analysis and assessments which includes: researching, gathering / reviewing information, and recommending/approving counterparty exposure limits

D13. The proposed resource should have demonstrated experience with change management.

D18. The proposed resource should have Project Management Professional (PMP) Certification

M3. The proposed resource must have demonstrated experience with relational database modeling techniques.

D2. The proposed resource should have demonstrated experience in building analytical and quantitative analysis models.

D3. The proposed resource should have demonstrated experience with professional research methodologies.

D4. The proposed resource should have demonstrated experience working across both business and technology.

Preparation of monthly journal entries

Preparation of monthly contract accruals

Record and analyze utility costs

Preparation of monthly financial results slide check

Preparation of actuals vs budget slide deck at portfolio level

Support of sourcing budgets and forecast

3+ years working in the field of digital analytics, preferably in an advertising agency or management consultancy

Strong knowledge of ETL processes and experience in data extraction, transformation, and loading.

Basic knowledge of cloud computing concepts and experience in Google Cloud

Mentor, project-manage, and guide junior analyst as well as troubleshoot and QA deliverables

Build backend data connection and manage data warehouse in the ETL process

Proven experience in designing and building interactive dashboards using Data Studio or Tableau.

·Preparing reports for the management stating trends, patterns, and predictions using relevant data

·Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise

·Using automated tools to extract data from primary and secondary sources

·Removing corrupted data and fixing coding errors and related problems

, and data systems – reorganizing data in a readable format

·Performing analysis to assess the quality and meaning of data

Significant* experience in at least one of the following: data management, data analysis or data science.

** Management is defined as Director and above.

*Significant is defined as a minimum of three (3) years experience.

What qualifications do you need to join our team?

Experience building and maintaining relationships with internal and external partners or stakeholders.

Graduation with a degree from a recognized post-secondary institution with acceptable specialization in economics, sociology or statistics.

Demonstrate capability to apply relevant knowledge and technical skills to ensure the adherence to financial reporting practices, policies and accounting standards.

Producing monthly account reconciliations and preparing quarterly collaborative reporting for Corporate Finance.

A Post-Secondary Degree in Business, Finance or Accounting.

Minimum 4-6 years of directly related and progressively responsible professional accounting experience is required.

A keen attention to detail, results-oriented demeanor and excellent planning and organizational skills.

Advanced Microsoft Office skills, specifically in Excel for financial analysis and reporting.

Good understanding and experience of real-time analytics, data stores, data modelling, data management, analytic tools, and languages

Work with cross-functional teams to help define master data management governance rules within a data mesh enterprise environment

Lead Capacity Planning and Management activities to ensure that Data & Integrations will be able to scale with the growing business

Translate business and functional requirements into technical specifications including defining data collection and database schema requirements

10+ years of engineering experience in Data Warehousing, Business Intelligence, and 3+ years in a senior role

7+ years of experience building data pipelines using Microsoft Azure tools and services (Azure Data Factory, Azure Blob, Azure Databricks, etc)

Strong knowledge and demonstrated experience in Data Quality Analysis is required.

The candidate must have their own equipment (laptop/computer) to work remotely from home.

Collecting, documenting, and analyzing information/data requirements from stakeholders

Creating data flow diagrams and communicating requirements, issues and options to various stakeholders, data architects and data engineers

Experience with reverse engineering the source to target mapping to gain data insights.

Experience with Azure Data platform preferred.